Crop Recommendation System
Objective
The user can provide the soil data from their side manually and the application will predict which crop the user should grow and can also take the assistance from the chatbot for investments and ways to test the soil components and the threats the crop may face.
Technologies Used
Machine learning
Deep Learning
Data Analysis
Front-End (Web Design/HTML & CSS)
Back-End (Flask/Django)
Product Analysis & Design
FASTN
Contributors
Aditya Agrawal -ML and modelling
Rachita Dashore- front-end ,UI and Back-End
Purvi Choure- ML and modelling
Palak Kumrawat - Front-End ,fastn